But we don't need to sort them all the time, and in general we don't even need to keep all the rounds.
This commit greatly improves the search performance by filtering the results in 3 different ways, depending on the context:
- A limit to the number of results can be given (useful for the training mode). The kept results are the best ones, not the first ones found by the search.
- When only the best round is needed (when the AI is playing with level 100, or when preparing the rack for an explosive game), we don't need to keep rounds with a lower score
- When the AI has a level lower than 100, it is still possible to skip many rounds
The search limit in training mode is configurable (defaulting to 100) and can be deactivated.
There are too many change to list properly, here is an overview of the main changes:
- the dictionary is now in C++
- the dictionary has a new format, where it is possible to specify the letters,
their points, their frequency, ... It is backwards compatible.
- Eliot now supports non-ASCII characters everywhere
- i18n of the compdic, listdic, regexpmain binaries
- i18n of the wxWidgets interface (now in english by default)
'regression.pl' is the script that runs the regression, and 'drivers' contains
the list of scenario files to be played.
By default, the complete regerssion is played, but you can play specific
scenarios by adding them to the command-line.
Example: ./regression.pl training_bag freegame_change
